Security Scan Report: voluminous-amber-ilimxdykrb-8rtinmaai6.edgeone.app

Submitted: Feb 13, 2026, 5:24:08 AMCompleted: Feb 13, 2026, 5:25:35 AMpubliccompleted

This website contacted 1 IP in 1 country across 6 domains to perform 8 HTTP transactions. The main domain is voluminous-amber-ilimxdykrb-8rtinmaai6.edgeone.app and was registered 3 years 4 months ago.

Submitted URL: https://voluminous-amber-ilimxdykrb-8rtinmaai6.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

No security concerns detected; site appears legitimate despite being offline.

Safety Factors (4)
Well‑established domain (> 365 days old)
No malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

San Valentín 💘

Scan Type

public

Domain Name Analysis

Domain 'voluminous-amber-ilimxdykrb-8rtinmaai6.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'voluminous-amber-ilimxdykrb-8rtinmaai6'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Segmentation suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://voluminous-amber-ilimxdykrb-8rtinmaai6.edgeone.app/

Page Load Overview

5.52s
Total Load Time
1.8 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:302 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical40% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
40%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
843.152.26.58Singapore
81--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C7048F773296063986558498F05B43099F21B143F506C8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ufQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszW2bMy8Oldy:dhoC9JSqzzbs6o3Sj3gcrsC2eA4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184641:kBhCeIgkMSIxAFYiBZhgBQLBBdYCTFDCOc1QADGWABzAtgHbFGbAnKIgEBQiIiFCGQGAT5E0wCAxxAwYWWNEYoCERIIQ0QoE

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:fcdcc0c4f0f0f0f0
Color Hash:#2d7a86

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data